
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "110"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 88 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 84 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.178553	-0.627696	0.950314	-0.347371	0.241086	7.154323	-0.037087	1.728719	0.7601	0.7709	0.2593	11.983680	13.922460
2459593	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.436448	-0.358184	0.079724	0.098764	0.487790	-0.782156	0.839172	-0.015031	0.6898	0.6844	0.2481	7.312780	6.853193
2459592	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	0.344346	-0.382116	0.680501	-0.528048	-1.479801	0.780791	-1.920986	-0.000324	0.0302	0.0483	0.0037	nan	nan
2459591	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.369239	0.429769	0.539477	0.694803	-0.657393	-0.643708	-0.534575	0.958952	0.6225	0.6318	0.3580	6.224479	6.706033
2459590	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.762651	2.271328	2.079579	0.383371	19.375841	3.821376	0.373068	18.756752	0.6129	0.6332	0.3467	7.290418	7.495958
2459589	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.388733	13.591018	0.221928	0.736165	-0.627899	15.893973	-0.791720	5.972032	0.6738	0.6367	0.2779	8.239501	7.983189
2459588	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.053781	-1.475144	0.512760	0.207809	-0.586677	-0.984464	-0.555930	-0.961125	0.7265	0.7084	0.2329	7.762790	7.669800
2459587	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	0.108837	0.756280	0.527274	0.905800	0.992465	2.158297	2.710363	2.405051	nan	nan	nan	17.815639	19.259479
2459586	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.773011	2.070058	0.518430	2.471684	-0.821719	6.925999	0.666015	2.965056	0.6294	0.6467	0.3392	5.003263	5.034407
2459585	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	2.388726	9.048919	0.153170	6.024015	1.554123	8.748987	-0.680768	1.572738	0.0332	0.0478	0.0066	0.000000	0.000000
2459584	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.880210	0.702068	0.310123	-0.187477	0.080604	-0.899244	1.802325	1.294006	0.5744	0.5885	0.3499	11.612435	11.472454
2459583	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.912462	0.324839	-0.553464	0.485976	2.060638	0.159375	6.812186	2.367186	0.6300	0.6445	0.3677	5.757643	5.493866
2459582	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	4.716722	0.263739	-0.241782	0.575145	13.182035	0.847589	3.436144	0.917526	0.6218	0.6495	0.3699	5.213141	4.995363
2459581	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459580	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	4.560652	4.423548	-0.229109	0.206074	10.063243	8.000965	9.574015	17.029727	0.6294	0.6416	0.3597	6.025503	5.269333
2459579	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	17.689049	0.173790	0.735788	0.803665	21.260957	0.361153	14.266569	1.280690	0.5880	0.6501	0.3706	8.051364	6.578166
2459578	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	-0.124877	-0.094965	-0.724572	-0.719387	0.805847	0.550478	4.890807	0.029552	0.0312	0.0535	0.0050	nan	nan
2459577	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459576	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	10.376631	4.109901	-0.179937	0.443523	18.529455	8.763757	16.988653	20.822821	0.6253	0.6643	0.3580	9.593892	8.430412
2459575	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.276889	14.407373	-0.590322	0.448820	-1.136495	8.620149	-0.865827	3.791963	0.7303	0.7119	0.3160	11.350593	10.908402
2459574	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.063722	0.497831	-0.813039	0.340821	-0.430088	1.043992	0.471354	0.270250	0.6600	0.6722	0.3698	6.589130	6.324545
2459573	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	11.708127	1.031451	0.254722	0.692305	11.099554	4.662066	1.913855	1.812541	0.6196	0.6635	0.3729	7.767838	7.457033
2459572	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.161041	1.315394	-0.615830	0.294017	-0.944043	1.158501	-0.615027	1.152797	0.6533	0.6621	0.3734	8.207984	8.395426
2459571	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	0.078869	-0.070210	-0.678526	-0.777031	-0.428255	0.361916	-0.011034	0.048277	0.0295	0.0402	0.0027	nan	nan
2459570	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459569	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.184828	36.815131	-0.707687	1.810557	-0.126795	5.766462	-0.532984	5.041979	0.7365	0.6685	0.2192	6.567827	8.590454
2459566	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.086142	5.416516	-0.576429	0.443348	1.753247	8.406811	4.810569	46.154735	0.6526	0.6507	0.3770	4.987646	4.546150
2459565	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	1.518751	1.518751	1.412081	1.412081	0.654293	0.654293	0.137774	0.137774	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	11.739683	1.120414	0.097219	0.721563	3.362704	0.497360	27.033445	8.172120	0.6235	0.6585	0.3781	4.100704	3.772858
2459563	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.098711	0.259531	-0.126487	-0.023973	-0.309865	0.075343	2.721537	4.898543	0.6587	0.6656	0.3745	6.227290	6.046282
2459562	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.038234	0.436518	-0.370670	0.561601	2.549615	0.800826	5.488265	1.288732	0.6494	0.6683	0.3763	4.276896	4.238742
2459561	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.422297	2.684167	-0.345164	0.525657	1.044532	2.286991	3.294893	5.685914	0.6594	0.6699	0.3729	4.110969	4.069998
2459560	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	5.110444	0.891609	0.132796	0.513806	3.796233	1.064601	1.324632	3.439022	0.6415	0.6643	0.3779	4.473598	4.077095
2459559	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	21.045154	0.347931	0.900952	0.504968	4.592251	0.859607	1.618134	2.164883	0.6085	0.6688	0.3613	4.885626	3.449037
2459558	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.731428	0.445437	-0.227728	0.647941	1.370344	0.196650	3.921332	4.537279	0.6628	0.6700	0.3760	5.688179	5.067037
2459557	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0353	0.0579	0.0060	nan	nan
2459556	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.349265	0.290866	-0.300075	0.874807	-0.520468	0.575571	0.759389	2.790517	0.6595	0.6657	0.3787	4.857590	4.483257
2459554	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6221	0.6730	0.3773	nan	nan
2459553	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6057	0.6707	0.3700	nan	nan
2459552	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.601523	7.883838	-0.093248	0.156258	-0.789020	16.387220	0.129689	21.587801	0.6716	0.6639	0.3783	11.174598	10.739805
2459551	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	11.193834	4.491269	0.204398	0.377654	6.257743	3.237301	15.028285	15.071175	0.6147	0.6482	0.3585	5.233179	3.988016
2459550	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0375	0.0459	0.0029	nan	nan
2459549	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.598492	6.284615	-0.648367	0.545410	14.461951	11.322103	6.805035	7.665442	0.6537	0.6605	0.3813	5.028229	4.389138
2459542	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	5.505262	24.893375	-0.227429	2.732280	0.676029	2.484904	20.004533	24.031351	0.7151	0.6741	0.3240	5.208504	4.248127
2459541	RF_maintenance	100.00%	1.34%	1.79%	0.00%	100.00%	0.00%	0.419111	19.199579	0.149982	0.739282	-0.377209	5.504244	2.167060	19.834397	0.7205	0.6899	0.3201	6.069134	4.713169
2459540	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.385287	1.365709	-0.397010	0.443285	6.671402	1.473623	6.345982	6.517188	0.7041	0.7231	0.3277	4.170379	3.727348
2459536	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	59.798063	0.390038	4.448387	0.448604	6.323414	0.619238	12.178356	0.677294	0.1011	0.0618	0.0084	0.000000	0.000000
2459535	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.229786	0.304389	-0.490135	0.422201	1.553352	-0.067164	-0.011769	1.122764	0.0735	0.0602	0.0071	1.165902	1.167166
2459534	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.027658	0.637370	-0.451747	0.371834	-0.350425	-0.160520	0.931098	6.600557	0.0800	0.0598	0.0073	10.158280	6.733616
2459533	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.113386	2.144519	-0.172746	0.272253	-1.069159	3.422555	0.035629	19.060570	0.0754	0.0584	0.0072	26.944175	23.138934
2459532	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.267934	21.018774	-0.147536	1.116948	-1.561736	19.521937	-0.014374	88.820906	0.0732	0.0648	0.0085	25.490945	17.070397
2459530	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.235372	5.532113	-0.509438	0.313633	0.178656	2.856724	0.350581	43.978486	0.0799	0.0625	0.0103	58.774558	55.356584
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.192906	1.380330	-0.341417	0.706312	-1.146563	4.817111	1.334769	8.556109	0.9120	0.9395	0.2781	0.000000	0.000000
2459523	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	0.059862	2.056907	-0.705974	0.585440	-0.508981	4.452981	0.736250	20.550150	nan	nan	nan	0.000000	0.000000
2459522	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.044505	1.400709	-0.103309	0.659205	-0.023554	5.120963	1.078025	17.033250	0.6519	0.7168	0.3730	-0.000000	-0.000000
2459513	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	0.196014	-0.077740	-0.720468	-0.753766	-1.095600	0.661734	-0.349912	0.892445	0.0377	0.0497	0.0061	nan	nan
2459508	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.789881	7.140331	-0.658628	1.313743	-1.613399	14.658714	-0.810041	15.161144	0.9124	0.9520	0.1736	0.000000	0.000000
2459505	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	26.083035	28.898844	1.019241	1.146537	71.037243	22.016718	43.537312	74.543420	0.8380	0.8366	0.1684	24.505694	19.001401
2459503	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.379460	5.556914	0.181985	1.465852	0.272766	12.305002	4.630750	69.380366	0.8705	0.8561	0.4291	0.000000	0.000000
2459501	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.275608	3.300594	1.396223	-0.640756	0.992875	3.311783	2.195046	11.176713	0.8787	0.9101	0.3502	0.000000	0.000000
2459500	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	13.447188	1.119969	8.617441	-0.614493	15.016743	5.170733	5.052504	16.918147	0.8370	0.9021	0.3951	0.000000	0.000000
2459499	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.464193	0.950958	-0.237810	0.504291	-0.467223	0.893320	-0.506828	10.231629	0.8994	0.9448	0.1576	0.000000	0.000000
2459498	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.290380	0.924009	0.069980	0.084112	-0.310497	0.915779	-0.798950	7.463269	0.8964	0.9108	0.3670	0.000000	0.000000
2459497	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.983642	2.358586	0.219118	0.236608	0.041657	3.522394	1.781808	41.906938	0.9010	0.9329	0.2987	0.000000	0.000000
2459496	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.353861	1.170671	-0.198572	0.327016	-0.795849	0.286886	0.371348	1.991574	0.9164	0.9208	0.3507	0.000000	0.000000
2459495	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.284892	2.632106	-0.338608	0.502289	-0.685751	6.720339	1.173274	19.045726	0.9127	0.9118	0.3887	0.000000	0.000000
2459494	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.358749	1.305511	-0.383264	0.555835	-0.828688	2.399311	-0.116907	21.358524	0.9039	0.9094	0.3950	0.000000	0.000000
2459492	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	40.734243	23.959278	1.612600	0.126187	44.090067	22.178863	17.288453	101.011695	0.7163	0.8030	0.2928	6.245282	4.732232
2459491	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	59.317047	48.153463	3.213017	1.998888	10.216971	31.182514	18.669821	87.894719	0.7533	0.7723	0.2115	4.134655	2.512375
2459490	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	60.277858	62.778376	2.579195	2.335585	6.881534	16.314156	9.495608	29.997932	0.6975	0.7226	0.2978	6.379587	5.703543
2459489	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	50.849346	58.533493	2.214423	2.708448	26.005607	21.518809	13.617626	44.813814	0.7156	0.7456	0.2703	7.231973	4.947323
2459488	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.329652	56.517714	2.463348	2.409602	6.624965	32.921863	20.886350	116.779369	0.7744	0.7304	0.3416	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 110 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 110, Node 10:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 110: 2459612

Antenna 110: 2459611

Antenna 110: 2459610

Antenna 110: 2459609

Antenna 110: 2459608

Antenna 110: 2459607

Antenna 110: 2459605

Antenna 110: 2459604

Antenna 110: 2459603

Antenna 110: 2459602

Antenna 110: 2459598

Antenna 110: 2459597

Antenna 110: 2459596

Antenna 110: 2459595

Antenna 110: 2459594

Antenna 110: 2459593

Antenna 110: 2459592

Antenna 110: 2459591

Antenna 110: 2459590

Antenna 110: 2459589

Antenna 110: 2459588

Antenna 110: 2459587

Antenna 110: 2459586

Antenna 110: 2459585

Antenna 110: 2459584

Antenna 110: 2459583

Antenna 110: 2459582

Antenna 110: 2459581

Antenna 110: 2459580

Antenna 110: 2459579

Antenna 110: 2459578

Antenna 110: 2459577

Antenna 110: 2459576

Antenna 110: 2459575

Antenna 110: 2459574

Antenna 110: 2459573

Antenna 110: 2459572

Antenna 110: 2459571

Antenna 110: 2459570

Antenna 110: 2459569

Antenna 110: 2459566

Antenna 110: 2459565

Antenna 110: 2459564

Antenna 110: 2459563

Antenna 110: 2459562

Antenna 110: 2459561

Antenna 110: 2459560

Antenna 110: 2459559

Antenna 110: 2459558

Antenna 110: 2459556

Antenna 110: 2459552

Antenna 110: 2459551

Antenna 110: 2459549

Antenna 110: 2459542

Antenna 110: 2459541

Antenna 110: 2459540

Antenna 110: 2459536

Antenna 110: 2459535

Antenna 110: 2459534

Antenna 110: 2459533

Antenna 110: 2459532

Antenna 110: 2459530

Antenna 110: 2459527

Antenna 110: 2459524

Antenna 110: 2459523

Antenna 110: 2459522

Antenna 110: 2459513

Antenna 110: 2459508

Antenna 110: 2459506

Antenna 110: 2459505

Antenna 110: 2459503

Antenna 110: 2459501

Antenna 110: 2459500

Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶